{"id":"W7120515433","doi":"","title":"En lisant, en écrivant : la lecture plaisir contre les inégalités à l'école","year":2025,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Imaginary; Cultural environment; Cuckoo","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002507922,0.001033198,0.0004091013,0.001000937,0.006740034,0.01485099,0.001721914,0.004316192,0.04147317],"category_scores_gemma":[0.009018072,0.000247799,0.0006629783,0.0008345518,0.005925498,0.007441491,0.004368681,0.008242013,0.01867668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00576047,"about_ca_system_score_gemma":0.006128974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006704698,"about_ca_topic_score_gemma":0.01470712,"domain_scores_codex":[0.9960982,0.002035218,0.0001292965,0.0004763775,0.0008563843,0.0004045458],"domain_scores_gemma":[0.9967048,0.001247342,0.0002863836,0.0002392788,0.0009113115,0.0006110128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007517372,0.00003973389,0.0004004861,0.0004396084,0.000010622,0.000379706,0.01499914,0.0001604803,0.00107875,0.1412478,0.793575,0.04759355],"study_design_scores_gemma":[0.000002302015,0.0000169086,0.0002757359,0.0002060164,0.000002682559,0.0001888489,0.003187768,0.00007410172,0.0001819846,0.004436973,0.9914186,0.000008062646],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006057172,0.0341126,0.007796976,0.3414254,0.08411145,0.0001025815,0.0002123546,0.0008445951,0.5253369],"genre_scores_gemma":[0.06664642,0.01342718,0.003127695,0.06066698,0.02680683,0.0001746735,0.0001691646,0.0006870659,0.8282941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04147317,"threshold_uncertainty_score":0.1387416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565741681555532,"score_gpt":0.2500847776581812,"score_spread":0.2344273608426258,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}